# General Business Research

This is the INT8 quantized version of the Meta-Llama-3.1-8B-Instruct model, optimized through weight and activation quantization, suitable for multilingual business and research applications.

Phi-4-mini-instruct is a lightweight open-source model built on synthetic data and filtered public web data, focusing on high-quality, reasoning-rich data. It supports a 128K token context length and multilingual processing.

Meta Llama 3.1 8B Instruct is a multilingual large language model optimized for multilingual dialogue use cases, excelling in common industry benchmarks.

Meta Llama 3 70B is a large language model developed by Meta, featuring 70 billion parameters and supporting an 8k context length, designed for English-language business and research applications.

DeciLM 6B-Instruct Model is an English language model specifically designed for short-format instruction following, trained using LoRA fine-tuning technology based on DeciLM 6B